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Platform Engineer: Cloud Data Lakehouse on BigQuery & CI/CD
Designs and maintains a cloud-native data lakehouse on BigQuery using Python, automates infrastructure with Terraform, and builds CI/CD pipelines for enterprise-scale data processing.
Principal Software Engineer, Customer Channels, Data & AI
Principal Engineer leading AI-enabled CRM and customer engagement platforms for Business Banking, designing scalable cloud-native systems and responsible AI architectures.
Databricks Platform Engineer, AI and Data, Technology Consulting
Build and optimize Databricks-based data platforms on Azure/AWS, configuring workspaces, clusters, and governance to support AI and analytics workloads using Spark, Delta Lake, and Unity Catalog.
Cloud Platform Engineer — Hybrid AWS & Big Data Expert
Designs and builds cloud infrastructure on AWS, automates deployments with IaC, and contributes to big data initiatives using Python or Go on Linux.
Engineering Manager - Data Platform
Lead a team building and running Cover Genius’s cloud data platform (BigQuery, Airflow, dbt, Dataflow) to ingest, process, and serve insurance-protection data for global e-commerce partners.
Staff Software Development Engineer - Data Acquisition
Staff engineer builds and evolves WEX’s data platform, focusing on Master Data Management, AI-assisted development, and reliable data ingestion for analytics and AI products.
Senior Data Analytics Engineer
Designs and delivers scalable data pipelines, models, and analytics solutions using Azure, Databricks, and SQL to drive business insights and operational excellence in fleet management and financial services.
Azure Data Platform Engineer – Modernization & ETL
Design, build, and optimize a modern Azure-based data platform for enterprise reporting and analytics, migrating on-premise workloads to the cloud.
DevOps Engineer - Data Migration
DevOps Engineer leading data migration projects for NSW Health Pathology, ensuring data integrity and minimal disruption using cloud, automation, and DevOps practices.
Cloud Data Platform Engineer: AWS, Kubernetes & Airflow
Build and operate Macquarie’s AWS-based data platform, deploying scalable cloud infrastructure and ETL pipelines with Kubernetes, Airflow and Terraform.
Data Platform Engineering Manager - Hybrid + Stock Options
Lead a team to build and maintain scalable data pipelines using SQL and Python, ensuring reliability and collaboration across analytics, data science, and product teams.
Data Platform Engineer
Build and maintain scalable data pipelines on AWS and Databricks, using Python, PySpark, and modern ETL/ELT frameworks to deliver reliable data across the organization.
Data Platform Engineering Lead
Lead the design and operation of SEMPHN’s enterprise data platform (DataBRIDGE) using Azure, Databricks, dbt, and PySpark to build secure, scalable data pipelines and models for population health analytics.
Cloud Data Platform Engineer
Build and maintain a secure, scalable AWS-based data platform using Kubernetes, Airflow, and infrastructure-as-code to enable data ingestion, ETL, and analytics for internal teams.
Cloud Data Platform Engineer
Build and run a secure, scalable AWS-based data platform using Kubernetes, Airflow, and Terraform to enable analytics and ETL workloads for internal teams.
AWS Data Engineer
Build and maintain AWS-based data pipelines and analytics platforms using services like Glue, Redshift, and SageMaker to enable data-driven insights and reporting.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud data pipelines (Databricks/AWS) to power analytics and ML, collaborating with data scientists and BI teams.
Senior AWS Data Engineer — Cloud Pipelines & AI
Senior technical recruiter builds and manages AWS-based pipelines and AI-driven hiring workflows for APAC clients.
AI Data Engineer
Build and optimize AI-ready data pipelines and retrieval systems using Databricks, Spark, and Python to power generative AI features like RAG and vector search for fintech comparison platforms.
Data Platform Engineer
Build and maintain scalable data pipelines on AWS and Databricks using Python, PySpark, and SQL to deliver reliable, high-quality data for analytics and decision-making.